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Evaluation and comparison of European countries: public opinion on services

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Author Info

  • Pier Alda Ferrari

    (University of Milan, Department of Economics, Business and Statistics)

  • Paola Annoni

    (University of Milan, Department of Economics, Business and Statistics)

  • Giancarlo Manzi

    (university of Milan, Department of Economics, Business and Statistics)

Abstract

We propose the setting-up of an indicator for classifying European countries with relation to consumers' satisfaction for services of general interest. Services considered are fixed telephone service, electricity supply, railways and postal service. The reference data set is the 2002 Standard Eurobarometer database (EB58) and it refers to EU members before 2004 enlargement. The proposed indicator is based on nonlinear principal component analysis and supplies a measure for the citizen's satisfaction. Its robustness is verified by a Monte Carlo approach. The level of satisfaction is eventually used for country comparison and for detecting possible hotspots, in order to support decision making policies.

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Bibliographic Info

Paper provided by Universitá degli Studi di Milano in its series UNIMI - Research Papers in Economics, Business, and Statistics with number unimi-1058.

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Date of creation: 26 Jun 2007
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Handle: RePEc:bep:unimip:unimi-1058

Note: oai:cdlib1:unimi-1058
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Related research

Keywords: Services of General Interest; Dissatisfaction Index; Nonlinear Principal Component Analysis; Robustness Analysis; Bootstrap Methods;

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References

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  1. Sendhil Mullainathan & Marianne Bertrand, 2001. "Do People Mean What They Say? Implications for Subjective Survey Data," American Economic Review, American Economic Association, vol. 91(2), pages 67-72, May.
  2. Carlo Fiorio & M. Florio & S. Salini & P. Ferrari, 2007. "Consumers’ Attitudes on Services of General Interest in the EU: Accessibility, Price and Quality 2000-2004," Working Papers 2007.2, Fondazione Eni Enrico Mattei.
  3. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer, vol. 16(3), pages 297-334, September.
  4. Freeman, Richard B, 1978. "Job Satisfaction as an Economic Variable," American Economic Review, American Economic Association, vol. 68(2), pages 135-41, May.
  5. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
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Cited by:
  1. Giancarlo MANZI & Pier Alda FERRARI, 2014. "Statistical methods for evaluating satisfaction with public services," CIRIEC Working Papers 1404, CIRIEC - Université de Liège.
  2. Pier Ferrari & Silvia Salini, 2011. "Complementary Use of Rasch Models and Nonlinear Principal Components Analysis in the Assessment of the Opinion of Europeans About Utilities," Journal of Classification, Springer, vol. 28(1), pages 53-69, April.
  3. Pier Ferrari & Laura Pagani & Carlo Fiorio, 2011. "A Two-Step Approach to Analyze Satisfaction Data," Social Indicators Research, Springer, vol. 104(3), pages 545-554, December.

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